Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows it's a safe read-only operation. The description adds context about the data being public ('não é dado sigiloso') and the payment model, but doesn't explain side-effects like credit deduction or any rate-limiting behavior. It adds value beyond annotations (payment, data sensitivity) but does not fully describe operational behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise (2-3 sentences) but includes legal disclaimers (LGPD) and payment terms that are not operationally relevant. It is not badly structured, but the most actionable information (how to query, what input is needed) is mixed with general context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides context about the data source and legal aspects but lacks specifics about input format, expected output, or error conditions. For a simple one-parameter query tool, it is somewhat complete, but the missing parameter semantics and output description leave gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one parameter (inscricao) with 0% coverage in the description. The word 'Cadastro' hints it's a registration number, but no format, example, or constraints are provided. Since the schema gives no description, the tool description should compensate but does not explicitly explain the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states this tool consults registration data from the Regional Council of Dentistry of Mato Grosso do Sul (CRO-MS) from official sources. It specifies the main action ('consulta') and the subject matter (registration in an official body), though it could be more explicit about the exact type of information returned.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions prepaid credit and LGPD compliance but provides no practical usage instructions—when to use this tool versus alternatives, how payment works, or what constitutes a valid query. No sibling tool distinction is made. It lacks guidance on how an agent should invoke it correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.